Dr William Man Yin CHEUNG

Senior Education Development Officer

After completing his undergraduate study in Civil and Structural Engineering at The University of Hong Kong, William pursued his interest in theoretical high energy physics and obtained his Ph.D. at the University of Toronto, Canada. Over the past years, William has been accumulating his experience in higher education both as a frontline educator and a facilitator to promote enhancement of learning and teaching.

In terms of teaching, William has mainly been focusing on artificial intelligence literacy, general education for university students, and scientific literacy for science students (such as mathematical modelling, the scientific method). He is passionate about experimenting with various teaching methods such as flipped classroom, engaging with students as partners. He has also experience in organising science outreach activities to introduce science to a wider audience.

As a facilitator, he has assisted other teachers to enhance their digital competencies for teaching (such as making use of learning analytics, managing instructional videos with Panopto). During the recent COVID-19 pandemic, he had experience in supporting academic staff to conduct hybrid teaching.

Main areas of interest

Artificial intelligence literacy, digital learning, general education, mathematical modelling, mathematics and science education

Selected publications

• Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2023). Evaluating an artificial intelligence literacy programme for developing university students’ conceptual understanding, literacy, empowerment and ethical awareness. Educational Technology & Society, 26(1), 16-30. https://doi.org/10.30191/ETS.202301_26(1).0002
• Kong, S.‑C., Cheung, W. M.‑Y., & Tsang, O. (2023). Evaluating an artificial intelligence literacy programme for empowering and developing concepts, literacy and ethical awareness in senior secondary students. Education and Information Technologies, 28(4), 4703-4724. https://doi.org/10.1007/s10639-022-11408-7
• Kong, S.C., Korte, SM., Cheung, W.MY. (2023). Nurturing Artificial Intelligence Literacy in Students with Diverse Cultural Backgrounds. In: Huang, YM., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2023. Lecture Notes in Computer Science, vol 14099. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_2
• Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2022). Evaluating Artificial Intelligence Literacy Courses for fostering conceptual learning, literacy and empowerment in university students: Refocusing to Conceptual Building. Computers in Human Behavior Reports, 7, 100223. https://doi.org/10.1016/j.chbr.2022.100223
• Kong, S.-C., Zhang, G., & Cheung, W. M.-Y. (2022). Pedagogical delivery and feedback for an artificial intelligence literacy programme for university students with diverse academic backgrounds: Flipped classroom learning approach with project-based learning. Bulletin of the Technical Community on Learning Technology, 22(1), 8-14. https://tc.computer.org/tclt/10-1109-2022-0101016/
• Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence, 2, 100026. https://doi.org/10.1016/j.caeai.2021.100026
• Liang, L., Yeung, K., Lui, R.K.W., Cheung, W.M.Y., & Lam, K.F. (2018). Lessons Learned from a Calculus E-Learning System for First-Year University Students with Diverse Mathematics Backgrounds. In Silverman, J., Hoyos, V. (Eds), Distance Learning, E-Learning and Blended Learning in Mathematics Education. ICME-13 Monographs. Springer, Cham. https://doi.org/10.1007/978-3-319-90790-1_5
• Cheung, W.M.Y., Luke, M. & Zuberi, S. (2009). Phase Space and Jet Definitions in Soft Collinear Effective Theory (SCET). Physical Review D 80, 114021. https://doi.org/10.1103/PhysRevD.80.114021

Selected conference presentations

• Kong, S.C., Yeung, C.C.L., Cheung, W.M.Y. (2022, December 16). A Case Study of Developing Understanding of Machine Learning through Working with a Learning Analytics Tool in Moodle [Oral presentation]. Teaching and Learning Innovation Expo 2022, Hong Kong.
• Kong, S.C., Cheung, W.M.Y., Yuen, C.N. (2022, December 14). Learning Analytics for Learning and Teaching Support [Poster presentation]. Teaching and Learning Innovation Expo 2022, Hong Kong.
• Cheung, W.M.Y. (2019, August 26 – 30). Integrating Students into the Teaching Team: How Peer Tutoring can Enhance Science Education [Poster presentation]. The 13th Conference of the European Science Education Research Association, Bologna, Italy.
• Cheung, W.M.Y. (2016, July 29). Incorporating Smartphones into Teaching Large Class: a Case Study of Teaching First-year University Science students [Poster presentation]. The 13th International Congress on Mathematical Education, Hamburg, Germany.